@inproceedings{31dc010514c540dda33c4241be7b9368,
title = "A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation",
abstract = "This paper describes a new Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation based on two existing techniques, region-based and level set methods. In our approach, instead of using the typical pipeline methodology to integrate the two techniques, a hybrid set-based methodology will be proposed. To evaluate the effectiveness of HAST, MR images taken from a national hospital that reflects the quality of real world medical images are used. A comparison between the two individual techniques and HAST will also be made to demonstrate the effectiveness of the latter.",
author = "Liu Jiang and Ban, {Chee Kin} and Pin, {Tan Boon} and Shuter Borys and Wang, {Shih Chang}",
year = "2006",
language = "English",
isbn = "9728865554",
series = "Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006",
publisher = "INSTICC Press",
pages = "159--168",
booktitle = "Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006",
note = "6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006 ; Conference date: 23-05-2006 Through 27-05-2006",
}